Simulates a random latent matrix Z given its expectation, dyadic correlation
and relative rank nomination data
Usage
rZ_rrl_fc(Z, EZ, rho, Y, YL)
Arguments
- Z
a square matrix, the current value of Z
- EZ
expected value of Z
- rho
dyadic correlation
- Y
square matrix of ranked nomination data
- YL
list of ranked individuals, from least to most preferred in each
row
Value
a square matrix, the new value of Z
Details
simulates Z under the constraints (1) Y\[i,j\]>Y\[i,k\] => Z\[i,j\]>Z\[i,k\]